Polling the faculty A researcher wants to study the attitudes of college faculty members about the work habits of entering freshmen. These attitudes appear to differ depending on the type of college. The American Association of University Professors classifies colleges as follows:

Class I: Offer doctorate degrees and award at least 15 per year.

Class IIA: Award degrees above the bachelor’s but are not in Class I.

Class IIB: Award no degrees beyond the bachelor's.

Class III: Two-year colleges.

The researcher would like to survey about 200 faculty members. Would you recommend a simple random sample, stratified

random sample, or cluster sample? Justify your answer.

The classification of college is:

Class I: Offer doctorate degrees and award at least 15 per year.

Class IIA: Award degrees above the bachelor's but are not in Class I.

Class IIB: Award no degrees beyond the bachelor's.

Class III: Two-year colleges.

Sample size, n=200

A sample survey picks a group of people from a larger group of people about whom we want to learn more. The data from the sample is used to draw inferences about the population. It's critical to be specific about the demographic you're interested in and the characteristics you'll track.

A expert must consider the attitudes of school personnel toward joining green bean job practises. These attitudes appear to differ depending on the type of school. The university professor has divided the colleges into various classes. Stratified random samples are samples taken from different strata in a diverse population using simple random sampling. Because a sample from each college might be taken and then all of the selected institutions would be equally represented in the chosen sample, the stratified random sample should be employed.